A generalized Waring regression model for count data
J Rodríguez-Avi, A Conde-Sánchez… - … statistics & data analysis, 2009 - Elsevier
A regression model for count data based on the generalized Waring distribution is
developed. This model allows the observed variability to be split into three components …
developed. This model allows the observed variability to be split into three components …
EpiSegMix: a flexible distribution hidden Markov model with duration modeling for chromatin state discovery
Motivation Automated chromatin segmentation based on ChIP-seq (chromatin
immunoprecipitation followed by sequencing) data reveals insights into the epigenetic …
immunoprecipitation followed by sequencing) data reveals insights into the epigenetic …
Modeling COVID-19 daily cases in Senegal using a generalized Waring regression model
L Gning, C Ndour, JM Tchuenche - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
The rapid spread of the COVID-19 pandemic has triggered substantial economic and social
disruptions worldwide. The number of infection-induced deaths in Senegal in particular and …
disruptions worldwide. The number of infection-induced deaths in Senegal in particular and …
A statistical model for under‐or overdispersed clustered and longitudinal count data
GK Grunwald, SL Bruce, L Jiang, M Strand… - Biometrical …, 2011 - Wiley Online Library
We propose a likelihood‐based model for correlated count data that display under‐or
overdispersion within units (eg subjects). The model is capable of handling correlation due …
overdispersion within units (eg subjects). The model is capable of handling correlation due …
Applying the Generalized Waring model for investigating sources of variance in motor vehicle crash analysis
As one of the major analysis methods, statistical models play an important role in traffic
safety analysis. They can be used for a wide variety of purposes, including establishing …
safety analysis. They can be used for a wide variety of purposes, including establishing …
Modelling using an extended Yule distribution
A biparametric discrete distribution that extends the Yule distribution is presented. It belongs
to the family of distributions generated by the Gaussian hypergeometric function and it can …
to the family of distributions generated by the Gaussian hypergeometric function and it can …
Generalized hypergeometric distributions generated by birth-death process in bioinformatics
Modern high-throughput biological systems detection methods generate empirical frequency
distributions (EFD) which exhibit complex forms and have long right-side tails. Such EFD are …
distributions (EFD) which exhibit complex forms and have long right-side tails. Such EFD are …
Dynamical stationarity as a result of sustained random growth
In sustained growth with random dynamics stationary distributions can exist without detailed
balance. This suggests thermodynamical behavior in fast-growing complex systems. In order …
balance. This suggests thermodynamical behavior in fast-growing complex systems. In order …
An over and underdispersed biparametric extension of the waring distribution
V Cueva-López, MJ Olmo-Jiménez, J Rodríguez-Avi - Mathematics, 2021 - mdpi.com
A new discrete distribution for count data called extended biparametric Waring (EBW)
distribution is developed. Its name is related to the fact that, in a specific configuration of its …
distribution is developed. Its name is related to the fact that, in a specific configuration of its …
A review of the CTP distribution: a comparison with other over- and underdispersed count data models
MJ Olmo-Jiménez, J Rodríguez-Avi… - Journal of Statistical …, 2018 - Taylor & Francis
The complex triparametric Pearson (CTP) distribution is a flexible model belonging to the
Gaussian hypergeometric family that can account for over-and underdispersion. However …
Gaussian hypergeometric family that can account for over-and underdispersion. However …